Profitable customer
growth.
Consumer growth is not a traffic problem or a first-order-revenue problem. It is a margin problem — driven by acquisition efficiency, first-order economics and cohort behaviour. Attributed connects every stage against commerce, analytics and finance evidence.
From demand to profitable repeat behaviour.
Five connected stages, one evidence spine. Each stage owned; each transition measured; each contribution reconciled against orders and invoiced revenue — not ad-platform-claimed revenue.
- 01DemandPaid, organic, brand, AI-search
- 02ConversionPDP, cart, checkout — mobile-first
- 03First purchaseContribution margin, not just revenue
- 04RepeatSecond-order rate as a commercial line
- 05Retention / reactivationCohort decay, win-back, loyalty
First-order economics, cohort decay and repeat behaviour.
Chasing first-order revenue is where B2C brands run out of margin. The connected system treats first-order, second-order and lifetime behaviour as three distinct commercial problems.
Contribution margin per acquired customer — not top-line CAC. Product-mix, discount depth and channel efficiency reconciled together.
How each acquisition cohort actually behaves over 30, 60, 90, 180 days — by channel, offer and product entry point. Where margin is really made.
Second order, third order, reactivation and loyalty — treated as commercial programmes, not lifecycle KPIs owned by a single email owner.
Configured for platform noise, mobile-first buying and cohort economics.
Full-funnel media reconciled against orders or invoiced revenue — not GA4 sessions. Creative testing measured against first-order and second-order revenue.
PDP, cart and checkout diagnostics — mobile-first. Landing pages built for high-intent, not aggregate traffic.
Cohort economics by acquisition channel and offer. Lifecycle programmes redesigned around cohort decay, not the send calendar.
Commerce or booking platform, ad platforms and CRM reconciled continuously. Discrepancy between platform-claimed and actually-landed revenue flagged in real time.
Four B2C growth systems.
Pick the closest fit — a Growth Review will confirm whether the model is right for your specific bottleneck.
Attributed acquisition, checkout activation and second-order retention across Shopify-first stacks.
High-intent enquiry generation for service categories — measured against booked and completed jobs, not clicks.
Trial-to-paid, churn, reactivation and LTV modelled honestly against acquisition cost.
Two-sided demand attribution — supply liquidity, demand acquisition and retention modelled together.
Media platforms, analytics, commerce and finance rarely agree.
Attributed makes the disagreement visible — then agrees a reconciled commercial view your team can defend.
Google Ads and equivalents. Over-claim expected — measured, not accepted.
GA4 via server-side or web tagging. Consent- and iOS-limited by design.
Shopify orders or equivalent booking systems. What actually landed.
Invoiced revenue and margin. The number the board ultimately cares about.
Currently supported integrations: Google Analytics 4, Google Tag Manager, Google Ads, Shopify, HubSpot and Slack. Additional platforms are onboarded per engagement.
Findings become Implementation Packs — not slides.
A widening gap between Google Ads-claimed revenue and Shopify-recognised revenue. A checkout step decaying on mobile. A cohort behaving unexpectedly. Each becomes a scoped Implementation Pack — brief, owner, effort estimate, QA checklist, success metric — routed to the right team, and only closed when Attributed Intelligence validates the change against baseline.
Book a Growth Review.
Connect commerce and ads read-only. We'll walk through the gap between platform-claimed and actually-landed revenue.